Pandas Profiling Report

Dataset statistics

Number of variables	37
Number of observations	5417
Missing cells	11602
Missing cells (%)	5.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	296.0 B

Variable types

Categorical	28
Numeric	9

Alerts

`ocorrencia_cidade` has a high cardinality: 1068 distinct values	High cardinality
`ocorrencia_aerodromo` has a high cardinality: 512 distinct values	High cardinality
`ocorrencia_localizacao` has a high cardinality: 2695 distinct values	High cardinality
`ocorrencia_tipo` has a high cardinality: 80 distinct values	High cardinality
`ocorrencia_tipo_categoria` has a high cardinality: 79 distinct values	High cardinality
`aeronave_matricula` has a high cardinality: 3901 distinct values	High cardinality
`aeronave_fabricante` has a high cardinality: 233 distinct values	High cardinality
`aeronave_modelo` has a high cardinality: 737 distinct values	High cardinality
`aeronave_tipo_icao` has a high cardinality: 229 distinct values	High cardinality
`aeronave_voo_origem` has a high cardinality: 677 distinct values	High cardinality
`aeronave_voo_destino` has a high cardinality: 674 distinct values	High cardinality
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_pmd_categoria` and 1 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_pmd` and 1 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `aeronave_tipo_operacao` and 1 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `aeronave_registro_segmento` and 1 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_tipo` and 1 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_saida_pista` and 5 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `aeronave_motor_tipo`	High correlation
`investigacao_status` is highly correlated with `aeronave_operador_categoria`	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_tipo` and 3 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `aeronave_motor_quantidade` and 2 other fields	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `aeronave_nivel_dano` and 1 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `aeronave_registro_segmento` and 4 other fields	High correlation
`investigacao_aeronave_liberada` is highly correlated with `aeronave_operador_categoria`	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_saida_pista` and 2 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_tipo` and 4 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `aeronave_motor_tipo` and 1 other fields	High correlation
`aeronave_registro_categoria` is highly correlated with `aeronave_motor_tipo` and 1 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `ocorrencia_saida_pista` and 5 other fields	High correlation
`ocorrencia_classificacao` is highly correlated with `ocorrencia_tipo` and 7 other fields	High correlation
`ocorrencia_uf` is highly correlated with `aeronave_tipo_operacao`	High correlation
`investigacao_status` is highly correlated with `aeronave_nivel_dano`	High correlation
`divulgacao_relatorio_publicado` is highly correlated with `ocorrencia_tipo` and 3 other fields	High correlation
`total_aeronaves_envolvidas` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`ocorrencia_saida_pista` is highly correlated with `ocorrencia_tipo` and 2 other fields	High correlation
`ocorrencia_tipo` is highly correlated with `ocorrencia_classificacao` and 14 other fields	High correlation
`ocorrencia_tipo_categoria` is highly correlated with `ocorrencia_classificacao` and 14 other fields	High correlation
`taxonomia_tipo_icao` is highly correlated with `ocorrencia_classificacao` and 7 other fields	High correlation
`aeronave_operador_categoria` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_tipo_veiculo` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_motor_tipo` is highly correlated with `ocorrencia_tipo` and 11 other fields	High correlation
`aeronave_motor_quantidade` is highly correlated with `ocorrencia_tipo` and 8 other fields	High correlation
`aeronave_pmd` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_pmd_categoria` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_assentos` is highly correlated with `aeronave_operador_categoria` and 6 other fields	High correlation
`aeronave_ano_fabricacao` is highly correlated with `aeronave_motor_tipo`	High correlation
`aeronave_registro_categoria` is highly correlated with `ocorrencia_tipo` and 6 other fields	High correlation
`aeronave_registro_segmento` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_fase_operacao` is highly correlated with `ocorrencia_classificacao` and 7 other fields	High correlation
`aeronave_tipo_operacao` is highly correlated with `ocorrencia_classificacao` and 13 other fields	High correlation
`aeronave_nivel_dano` is highly correlated with `ocorrencia_classificacao` and 9 other fields	High correlation
`aeronave_fatalidades_total` is highly correlated with `aeronave_nivel_dano`	High correlation
`ocorrencia_aerodromo` has 1986 (36.7%) missing values	Missing
`investigacao_aeronave_liberada` has 1811 (33.4%) missing values	Missing
`investigacao_status` has 261 (4.8%) missing values	Missing
`ocorrencia_localizacao` has 1524 (28.1%) missing values	Missing
`aeronave_operador_categoria` has 3128 (57.7%) missing values	Missing
`aeronave_tipo_veiculo` has 159 (2.9%) missing values	Missing
`aeronave_fabricante` has 358 (6.6%) missing values	Missing
`aeronave_modelo` has 175 (3.2%) missing values	Missing
`aeronave_tipo_icao` has 271 (5.0%) missing values	Missing
`aeronave_motor_tipo` has 237 (4.4%) missing values	Missing
`aeronave_motor_quantidade` has 94 (1.7%) missing values	Missing
`aeronave_assentos` has 199 (3.7%) missing values	Missing
`aeronave_ano_fabricacao` has 520 (9.6%) missing values	Missing
`aeronave_registro_categoria` has 159 (2.9%) missing values	Missing
`aeronave_registro_segmento` has 73 (1.3%) missing values	Missing
`aeronave_voo_origem` has 204 (3.8%) missing values	Missing
`aeronave_voo_destino` has 196 (3.6%) missing values	Missing
`aeronave_tipo_operacao` has 148 (2.7%) missing values	Missing
`aeronave_matricula` is uniformly distributed	Uniform
`ocorrencia_hora` has 64 (1.2%) zeros	Zeros
`total_recomendacoes` has 4779 (88.2%) zeros	Zeros
`aeronave_pmd` has 241 (4.4%) zeros	Zeros
`aeronave_pmd_categoria` has 241 (4.4%) zeros	Zeros
`aeronave_assentos` has 258 (4.8%) zeros	Zeros
`aeronave_fatalidades_total` has 5015 (92.6%) zeros	Zeros

Reproduction

Analysis started	2022-05-29 21:52:50.712525
Analysis finished	2022-05-29 21:53:08.806097
Duration	18.09 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

ocorrencia_classificacao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

INCIDENTE	2863
ACIDENTE	1791
INCIDENTE GRAVE	763

Length

Max length	15
Median length	9
Mean length	9.514491416
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INCIDENTE
2nd row	ACIDENTE
3rd row	ACIDENTE
4th row	ACIDENTE
5th row	ACIDENTE

Common Values

Value	Count	Frequency (%)
INCIDENTE	2863	52.9%
ACIDENTE	1791	33.1%
INCIDENTE GRAVE	763	14.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
incidente	3626	58.7%
acidente	1791	29.0%
grave	763	12.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_cidade
Categorical

HIGH CARDINALITY

Distinct	1068
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

SÃO PAULO - SP	257
RIO DE JANEIRO - RJ	256
BELO HORIZONTE - MG	174
CAMPINAS - SP	170
GUARULHOS - SP	130
Other values (1063)	4430

Length

Max length	37
Median length	14
Mean length	15.20509507
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	548 ?
Unique (%)	10.1%

Sample

1st row	PORTO ALEGRE - RS
2nd row	GUARULHOS - SP
3rd row	VIAMÃO - RS
4th row	SÃO SEBASTIÃO - SP
5th row	SÃO SEPÉ - RS

Common Values

Value	Count	Frequency (%)
SÃO PAULO - SP	257	4.7%
RIO DE JANEIRO - RJ	256	4.7%
BELO HORIZONTE - MG	174	3.2%
CAMPINAS - SP	170	3.1%
GUARULHOS - SP	130	2.4%
GOIÂNIA - GO	125	2.3%
BRASÍLIA - DF	113	2.1%
LONDRINA - PR	112	2.1%
MANAUS - AM	95	1.8%
PORTO ALEGRE - RS	91	1.7%
Other values (1058)	3894	71.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	5419	27.6%
sp	1332	6.8%
mg	510	2.6%
são	468	2.4%
pr	452	2.3%
rj	414	2.1%
rio	359	1.8%
de	351	1.8%
rs	342	1.7%
mt	297	1.5%
Other values (1090)	9667	49.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_uf
Categorical

HIGH CORRELATION

Distinct	27
Distinct (%)	0.5%
Missing	2
Missing (%)	< 0.1%
Memory size	42.4 KiB

SP	1332
MG	510
PR	452
RJ	414
RS	342
Other values (22)	2365

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RS
2nd row	SP
3rd row	RS
4th row	SP
5th row	RS

Common Values

Value	Count	Frequency (%)
SP	1332	24.6%
MG	510	9.4%
PR	452	8.3%
RJ	414	7.6%
RS	342	6.3%
MT	297	5.5%
GO	285	5.3%
PA	269	5.0%
AM	212	3.9%
BA	201	3.7%
Other values (17)	1101	20.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	1332	24.6%
mg	510	9.4%
pr	452	8.3%
rj	414	7.6%
rs	342	6.3%
mt	297	5.5%
go	285	5.3%
pa	269	5.0%
am	212	3.9%
ba	201	3.7%
Other values (17)	1101	20.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_aerodromo
Categorical

HIGH CARDINALITY
MISSING

Distinct	512
Distinct (%)	14.9%
Missing	1986
Missing (%)	36.7%
Memory size	42.4 KiB

SBGR	126
SBMT	121
SBBH	106
SBKP	98
SBLO	87
Other values (507)	2893

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	248 ?
Unique (%)	7.2%

Sample

1st row	SBPA
2nd row	SBGR
3rd row	SDAI
4th row	SBBE
5th row	SBUL

Common Values

Value	Count	Frequency (%)
SBGR	126	2.3%
SBMT	121	2.2%
SBBH	106	2.0%
SBKP	98	1.8%
SBLO	87	1.6%
SBGL	84	1.6%
SBBR	80	1.5%
SBJD	78	1.4%
SBSP	70	1.3%
SBPA	68	1.3%
Other values (502)	2513	46.4%
(Missing)	1986	36.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sbgr	126	3.7%
sbmt	121	3.5%
sbbh	106	3.1%
sbkp	98	2.9%
sblo	87	2.5%
sbgl	84	2.4%
sbbr	80	2.3%
sbjd	78	2.3%
sbsp	70	2.0%
sbpa	68	2.0%
Other values (502)	2513	73.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_dia
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15.66838996

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.843488074
Coefficient of variation (CV)	0.564415878
Kurtosis	-1.190495389
Mean	15.66838996
Median Absolute Deviation (MAD)	8
Skewness	-0.01505581677
Sum	84860
Variance	78.20728132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
2	225	4.2%
23	208	3.8%
7	207	3.8%
16	197	3.6%
12	197	3.6%
18	196	3.6%
20	187	3.5%
21	187	3.5%
19	186	3.4%
1	185	3.4%
Other values (21)	3441	63.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	185	3.4%
2	225	4.2%
3	182	3.4%
4	174	3.2%
5	176	3.2%
6	147	2.7%
7	207	3.8%
8	161	3.0%
9	162	3.0%
10	159	2.9%

Value	Count	Frequency (%)
31	110	2.0%
30	164	3.0%
29	153	2.8%
28	174	3.2%
27	158	2.9%
26	164	3.0%
25	181	3.3%
24	177	3.3%
23	208	3.8%
22	182	3.4%

ocorrencia_hora
Real number (ℝ_≥0)

ZEROS

Distinct	24
Distinct (%)	0.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15.06554653

Minimum	0
Maximum	23
Zeros	64
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6.75
Q1	12
median	15
Q3	19
95-th percentile	21
Maximum	23
Range	23
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.734302067
Coefficient of variation (CV)	0.3142469514
Kurtosis	0.9955372613
Mean	15.06554653
Median Absolute Deviation (MAD)	3
Skewness	-0.8636530424
Sum	81595
Variance	22.41361606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
20	478	8.8%
14	470	8.7%
19	470	8.7%
18	444	8.2%
13	432	8.0%
12	425	7.8%
15	402	7.4%
17	376	6.9%
16	350	6.5%
11	345	6.4%
Other values (14)	1224	22.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	64	1.2%
1	57	1.1%
2	55	1.0%
3	42	0.8%
4	27	0.5%
5	12	0.2%
6	14	0.3%
7	23	0.4%
8	40	0.7%
9	130	2.4%

Value	Count	Frequency (%)
23	105	1.9%
22	164	3.0%
21	261	4.8%
20	478	8.8%
19	470	8.7%
18	444	8.2%
17	376	6.9%
16	350	6.5%
15	402	7.4%
14	470	8.7%

investigacao_aeronave_liberada
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	1811
Missing (%)	33.4%
Memory size	42.4 KiB

SIM	3569
NÃO	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SIM
2nd row	SIM
3rd row	SIM
4th row	SIM
5th row	SIM

Common Values

Value	Count	Frequency (%)
SIM	3569	65.9%
NÃO	37	0.7%
(Missing)	1811	33.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sim	3569	99.0%
não	37	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

investigacao_status
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	261
Missing (%)	4.8%
Memory size	42.4 KiB

FINALIZADA	4662
ATIVA	494

Length

Max length	10
Median length	10
Mean length	9.52094647
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FINALIZADA
2nd row	FINALIZADA
3rd row	FINALIZADA
4th row	FINALIZADA
5th row	FINALIZADA

Common Values

Value	Count	Frequency (%)
FINALIZADA	4662	86.1%
ATIVA	494	9.1%
(Missing)	261	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
finalizada	4662	90.4%
ativa	494	9.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

divulgacao_relatorio_publicado
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

NÃO	3979
SIM	1438

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	SIM
3rd row	SIM
4th row	NÃO
5th row	SIM

Common Values

Value	Count	Frequency (%)
NÃO	3979	73.5%
SIM	1438	26.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
não	3979	73.5%
sim	1438	26.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

total_recomendacoes
Real number (ℝ_≥0)

ZEROS

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2396160236

Minimum	0
Maximum	13
Zeros	4779
Zeros (%)	88.2%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8562674489
Coefficient of variation (CV)	3.573498283
Kurtosis	47.42642397
Mean	0.2396160236
Median Absolute Deviation (MAD)	0
Skewness	5.804398978
Sum	1298
Variance	0.7331939441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	4779	88.2%
1	316	5.8%
2	175	3.2%
3	70	1.3%
4	39	0.7%
6	11	0.2%
5	9	0.2%
7	7	0.1%
9	6	0.1%
8	2	< 0.1%
Other values (3)	3	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4779	88.2%
1	316	5.8%
2	175	3.2%
3	70	1.3%
4	39	0.7%
5	9	0.2%
6	11	0.2%
7	7	0.1%
8	2	< 0.1%
9	6	0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	1	< 0.1%
11	1	< 0.1%
9	6	0.1%
8	2	< 0.1%
7	7	0.1%
6	11	0.2%
5	9	0.2%
4	39	0.7%
3	70	1.3%

total_aeronaves_envolvidas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

1	5280
2	128
3	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5280	97.5%
2	128	2.4%
3	9	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_saida_pista
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	42.4 KiB

NÃO	4809
SIM	608

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NÃO
2nd row	NÃO
3rd row	NÃO
4th row	NÃO
5th row	NÃO

Common Values

Value	Count	Frequency (%)
NÃO	4809	88.8%
SIM	608	11.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
não	4809	88.8%
sim	608	11.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_localizacao
Categorical

HIGH CARDINALITY
MISSING

Distinct	2695
Distinct (%)	69.2%
Missing	1524
Missing (%)	28.1%
Memory size	42.4 KiB

\t-23.33027778\t / \t-51.13666667\t	39
-23.00694444444 / -47.13444444444	33
\t-29.99388889\t / \t-51.17111111\t	27
-23.0069444444 / -47.1344444444	22
\t-25.53166667\t / \t-49.17611111\t	20
Other values (2690)	3752

Length

Max length	35
Median length	31
Mean length	28.38196763
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2269 ?
Unique (%)	58.3%

Sample

1st row	-23.4355555556 / -46.4730555556
2nd row	-19.9133333333 / -48.2930555556
3rd row	-5.3677777778 / -49.1383333333
4th row	-24.5888888889 / -48.2113888889
5th row	-16.0388888889 / -57.5958333333

Common Values

Value	Count	Frequency (%)
\t-23.33027778\t / \t-51.13666667\t	39	0.7%
-23.00694444444 / -47.13444444444	33	0.6%
\t-29.99388889\t / \t-51.17111111\t	27	0.5%
-23.0069444444 / -47.1344444444	22	0.4%
\t-25.53166667\t / \t-49.17611111\t	20	0.4%
-23.1816666667 / -46.9436111111	18	0.3%
-23.6261111111 / -46.6563888889	17	0.3%
\t-25.40333333\t / \t-49.23361111\t	17	0.3%
-12.9086111111 / -38.3225	17	0.3%
-15.8711111111 / -47.9186111111	16	0.3%
Other values (2685)	3667	67.7%
(Missing)	1524	28.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3896	33.3%
22.81	45	0.4%
t-23.33027778\t	41	0.4%
t-51.13666667\t	39	0.3%
23.00694444444	36	0.3%
47.13444444444	35	0.3%
t-29.99388889\t	30	0.3%
t-51.17111111\t	29	0.2%
47.1344444444	26	0.2%
23.0069444444	23	0.2%
Other values (5150)	7509	64.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_mes
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	6.463626292

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.475513457
Coefficient of variation (CV)	0.5377033417
Kurtosis	-1.242413432
Mean	6.463626292
Median Absolute Deviation (MAD)	3
Skewness	-0.0005830875398
Sum	35007
Variance	12.07919379
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	526	9.7%
1	486	9.0%
9	479	8.8%
11	453	8.4%
10	453	8.4%
8	452	8.3%
12	437	8.1%
6	431	8.0%
7	431	8.0%
4	427	7.9%
Other values (2)	841	15.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	486	9.0%
2	419	7.7%
3	526	9.7%
4	427	7.9%
5	422	7.8%
6	431	8.0%
7	431	8.0%
8	452	8.3%
9	479	8.8%
10	453	8.4%

Value	Count	Frequency (%)
12	437	8.1%
11	453	8.4%
10	453	8.4%
9	479	8.8%
8	452	8.3%
7	431	8.0%
6	431	8.0%
5	422	7.8%
4	427	7.9%
3	526	9.7%

ocorrencia_tipo
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	1.5%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

FALHA DO MOTOR EM VOO	669
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596
ESTOURO DE PNEU	578
PERDA DE CONTROLE NO SOLO	386
PERDA DE CONTROLE EM VOO	327
Other values (75)	2860

Length

Max length	92
Median length	21
Mean length	23.84268833
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	ESTOURO DE PNEU
2nd row	COM PESSOAL EM VOO
3rd row	FALHA DO MOTOR EM VOO
4th row	FALHA DO MOTOR EM VOO
5th row	PERDA DE CONTROLE NO SOLO

Common Values

Value	Count	Frequency (%)
FALHA DO MOTOR EM VOO	669	12.4%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596	11.0%
ESTOURO DE PNEU	578	10.7%
PERDA DE CONTROLE NO SOLO	386	7.1%
PERDA DE CONTROLE EM VOO	327	6.0%
COM TREM DE POUSO	314	5.8%
OUTROS	246	4.5%
COLISÃO COM AVE	199	3.7%
EXCURSÃO DE PISTA	188	3.5%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	173	3.2%
Other values (70)	1740	32.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2662	11.3%
falha	1329	5.6%
em	1279	5.4%
voo	1212	5.1%
com	995	4.2%
pouso	827	3.5%
	789	3.3%
perda	788	3.3%
motor	731	3.1%
do	731	3.1%
Other values (125)	12292	52.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ocorrencia_tipo_categoria
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	79
Distinct (%)	1.5%
Missing	3
Missing (%)	0.1%
Memory size	42.4 KiB

FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	669
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	578
PERDA DE CONTROLE NO SOLO	386
PERDA DE CONTROLE EM VOO	327
Other values (74)	2858

Length

Max length	96
Median length	49
Mean length	43.68821574
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU
2nd row	OUTROS \| COM PESSOAL EM VOO
3rd row	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO
4th row	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO
5th row	PERDA DE CONTROLE NO SOLO

Common Values

Value	Count	Frequency (%)
FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	669	12.4%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE	596	11.0%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	578	10.7%
PERDA DE CONTROLE NO SOLO	386	7.1%
PERDA DE CONTROLE EM VOO	327	6.0%
FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	314	5.8%
OUTROS	246	4.5%
COLISÃO COM AVE	199	3.7%
EXCURSÃO DE PISTA	188	3.5%
COLISÃO COM OBSTÁCULO DURANTE A DECOLAGEM E POUSO	173	3.2%
Other values (69)	1738	32.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4904	11.4%
de	3976	9.3%
falha	3197	7.5%
ou	2515	5.9%
mau	2493	5.8%
funcionamento	2493	5.8%
componente	1791	4.2%
sistema	1723	4.0%
do	1472	3.4%
motor	1472	3.4%
Other values (124)	16850	39.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

taxonomia_tipo_icao
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Memory size	42.4 KiB

SCF-NP	1723
SCF-PP	770
OTHR	600
LOC-G	386
LOC-I	327
Other values (27)	1610

Length

Max length	7
Median length	5
Mean length	4.879431315
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	SCF-NP
2nd row	OTHR
3rd row	SCF-PP
4th row	SCF-PP
5th row	LOC-G

Common Values

Value	Count	Frequency (%)
SCF-NP	1723	31.8%
SCF-PP	770	14.2%
OTHR	600	11.1%
LOC-G	386	7.1%
LOC-I	327	6.0%
RE	247	4.6%
BIRD	199	3.7%
ARC	191	3.5%
CTOL	173	3.2%
UNK	126	2.3%
Other values (22)	674	12.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scf-np	1723	31.8%
scf-pp	770	14.2%
othr	600	11.1%
loc-g	386	7.1%
loc-i	327	6.0%
re	247	4.6%
bird	199	3.7%
arc	191	3.5%
ctol	173	3.2%
unk	126	2.3%
Other values (22)	674	12.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_matricula
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3901
Distinct (%)	72.2%
Missing	14
Missing (%)	0.3%
Memory size	42.4 KiB

PRTTW	10
PRATV	9
PRTTP	9
PRTTK	9
PRFLM	9
Other values (3896)	5357

Length

Max length	8
Median length	5
Mean length	5.019433648
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2968 ?
Unique (%)	54.9%

Sample

1st row	PRCDL
2nd row	PRTKB
3rd row	PTGOO
4th row	PUUSS
5th row	PTUCL

Common Values

Value	Count	Frequency (%)
PRTTW	10	0.2%
PRATV	9	0.2%
PRTTP	9	0.2%
PRTTK	9	0.2%
PRFLM	9	0.2%
PRAYN	8	0.1%
PPFXH	8	0.1%
PPPTQ	8	0.1%
PTLSJ	8	0.1%
PPGBC	7	0.1%
Other values (3891)	5318	98.2%
(Missing)	14	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
prttw	10	0.2%
prttp	9	0.2%
prttk	9	0.2%
prflm	9	0.2%
pratv	9	0.2%
prayn	8	0.1%
ppfxh	8	0.1%
ppptq	8	0.1%
ptlsj	8	0.1%
prtkj	7	0.1%
Other values (3891)	5318	98.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_operador_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	0.4%
Missing	3128
Missing (%)	57.7%
Memory size	42.4 KiB

REGULAR	636
PARTICULAR	589
TÁXI AÉREO	325
INSTRUÇÃO	303
EXPERIMENTAL	283
Other values (5)	153

Length

Max length	20
Median length	10
Mean length	9.678462211
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PARTICULAR
2nd row	EXPERIMENTAL
3rd row	PARTICULAR
4th row	REGULAR
5th row	PARTICULAR

Common Values

Value	Count	Frequency (%)
REGULAR	636	11.7%
PARTICULAR	589	10.9%
TÁXI AÉREO	325	6.0%
INSTRUÇÃO	303	5.6%
EXPERIMENTAL	283	5.2%
ADMINISTRAÇÃO DIRETA	89	1.6%
ESPECIALIZADA	21	0.4%
AGRÍCOLA	21	0.4%
NÃO REGULAR	14	0.3%
MÚLTIPLA	8	0.1%
(Missing)	3128	57.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
regular	650	23.9%
particular	589	21.7%
táxi	325	12.0%
aéreo	325	12.0%
instrução	303	11.2%
experimental	283	10.4%
administração	89	3.3%
direta	89	3.3%
especializada	21	0.8%
agrícola	21	0.8%
Other values (2)	22	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_veiculo
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	159
Missing (%)	2.9%
Memory size	42.4 KiB

AVIÃO	4346
HELICÓPTERO	556
ULTRALEVE	316
PLANADOR	18
ANFÍBIO	13
Other values (4)	9

Length

Max length	11
Median length	5
Mean length	5.892544694
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	ULTRALEVE
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4346	80.2%
HELICÓPTERO	556	10.3%
ULTRALEVE	316	5.8%
PLANADOR	18	0.3%
ANFÍBIO	13	0.2%
TRIKE	5	0.1%
DIRIGÍVEL	2	< 0.1%
BALÃO	1	< 0.1%
HIDROAVIÃO	1	< 0.1%
(Missing)	159	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
avião	4346	82.7%
helicóptero	556	10.6%
ultraleve	316	6.0%
planador	18	0.3%
anfíbio	13	0.2%
trike	5	0.1%
dirigível	2	< 0.1%
balão	1	< 0.1%
hidroavião	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fabricante
Categorical

HIGH CARDINALITY
MISSING

Distinct	233
Distinct (%)	4.6%
Missing	358
Missing (%)	6.6%
Memory size	42.4 KiB

CESSNA AIRCRAFT	862
NEIVA INDUSTRIA AERONAUTICA	607
EMBRAER	600
PIPER AIRCRAFT	401
BOEING COMPANY	268
Other values (228)	2321

Length

Max length	47
Median length	15
Mean length	15.77406602
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	135 ?
Unique (%)	2.7%

Sample

1st row	RAYTHEON AIRCRAFT
2nd row	AEROSPATIALE AND ALENIA
3rd row	NEIVA INDUSTRIA AERONAUTICA
4th row	NEIVA INDUSTRIA AERONAUTICA
5th row	EUROCOPTER FRANCE

Common Values

Value	Count	Frequency (%)
CESSNA AIRCRAFT	862	15.9%
NEIVA INDUSTRIA AERONAUTICA	607	11.2%
EMBRAER	600	11.1%
PIPER AIRCRAFT	401	7.4%
BOEING COMPANY	268	4.9%
BEECH AIRCRAFT	266	4.9%
AIRBUS INDUSTRIE	253	4.7%
AEROSPATIALE AND ALENIA	249	4.6%
AERO BOERO	160	3.0%
ROBINSON HELICOPTER	132	2.4%
Other values (223)	1261	23.3%
(Missing)	358	6.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aircraft	1769	16.9%
cessna	862	8.3%
aeronautica	659	6.3%
industria	646	6.2%
neiva	607	5.8%
embraer	600	5.7%
piper	401	3.8%
company	271	2.6%
boeing	269	2.6%
beech	267	2.6%
Other values (425)	4091	39.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_modelo
Categorical

HIGH CARDINALITY
MISSING

Distinct	737
Distinct (%)	14.1%
Missing	175
Missing (%)	3.2%
Memory size	42.4 KiB

ATR-72-212A	209
ERJ 190-200 IGW	174
EMB-810D	149
152	144
AB-115	140
Other values (732)	4426

Length

Max length	29
Median length	7
Mean length	7.225295689
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	353 ?
Unique (%)	6.7%

Sample

1st row	58
2nd row	ATR-42-500
3rd row	EMB-201
4th row	P2004 BRAVO
5th row	EMB-201A

Common Values

Value	Count	Frequency (%)
ATR-72-212A	209	3.9%
ERJ 190-200 IGW	174	3.2%
EMB-810D	149	2.8%
152	144	2.7%
AB-115	140	2.6%
EMB-810C	119	2.2%
EMB-202	95	1.8%
737-8EH	93	1.7%
EMB-201A	93	1.7%
EMB-202A	89	1.6%
Other values (727)	3937	72.7%
(Missing)	175	3.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
erj	248	3.8%
igw	213	3.3%
atr-72-212a	209	3.2%
190-200	175	2.7%
emb-810d	149	2.3%
152	144	2.2%
ab-115	140	2.1%
as	128	2.0%
emb-810c	119	1.8%
350	109	1.7%
Other values (814)	4908	75.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_icao
Categorical

HIGH CARDINALITY
MISSING

Distinct	229
Distinct (%)	4.5%
Missing	271
Missing (%)	5.0%
Memory size	42.4 KiB

PA34	389
IPAN	312
ULAC	293
E190	229
AT72	204
Other values (224)	3719

Length

Max length	5
Median length	4
Mean length	3.938981733
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	1.0%

Sample

1st row	BE58
2nd row	AT45
3rd row	IPAN
4th row	ULAC
5th row	IPAN

Common Values

Value	Count	Frequency (%)
PA34	389	7.2%
IPAN	312	5.8%
ULAC	293	5.4%
E190	229	4.2%
AT72	204	3.8%
A320	150	2.8%
C152	140	2.6%
AB11	140	2.6%
ZZZZ	122	2.3%
AS50	120	2.2%
Other values (219)	3047	56.2%
(Missing)	271	5.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pa34	389	7.6%
ipan	312	6.1%
ulac	293	5.7%
e190	229	4.4%
at72	204	4.0%
a320	150	2.9%
c152	140	2.7%
ab11	140	2.7%
zzzz	122	2.4%
as50	120	2.3%
Other values (220)	3048	59.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_motor_tipo
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	237
Missing (%)	4.4%
Memory size	42.4 KiB

PISTÃO	3013
JATO	978
TURBOÉLICE	695
TURBOEIXO	476
SEM TRAÇÃO	18

Length

Max length	10
Median length	6
Mean length	6.448648649
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PISTÃO
2nd row	TURBOÉLICE
3rd row	PISTÃO
4th row	PISTÃO
5th row	PISTÃO

Common Values

Value	Count	Frequency (%)
PISTÃO	3013	55.6%
JATO	978	18.1%
TURBOÉLICE	695	12.8%
TURBOEIXO	476	8.8%
SEM TRAÇÃO	18	0.3%
(Missing)	237	4.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pistão	3013	58.0%
jato	978	18.8%
turboélice	695	13.4%
turboeixo	476	9.2%
sem	18	0.3%
tração	18	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_motor_quantidade
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	94
Missing (%)	1.7%
Memory size	42.4 KiB

MONOMOTOR	2802
BIMOTOR	2277
SEM TRAÇÃO	171
TRIMOTOR	68
QUADRIMOTOR	5

Length

Max length	11
Median length	9
Mean length	8.165696036
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BIMOTOR
2nd row	BIMOTOR
3rd row	MONOMOTOR
4th row	MONOMOTOR
5th row	MONOMOTOR

Common Values

Value	Count	Frequency (%)
MONOMOTOR	2802	51.7%
BIMOTOR	2277	42.0%
SEM TRAÇÃO	171	3.2%
TRIMOTOR	68	1.3%
QUADRIMOTOR	5	0.1%
(Missing)	94	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
monomotor	2802	51.0%
bimotor	2277	41.4%
sem	171	3.1%
tração	171	3.1%
trimotor	68	1.2%
quadrimotor	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_pmd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14432.68599

Minimum	0
Maximum	396895
Zeros	241
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	408
Q1	1157
median	1968
Q3	5307
95-th percentile	77000
Maximum	396895
Range	396895
Interquartile range (IQR)	4150

Descriptive statistics

Standard deviation	33659.10235
Coefficient of variation (CV)	2.332144022
Kurtosis	34.26910004
Mean	14432.68599
Median Absolute Deviation (MAD)	1211
Skewness	4.841505879
Sum	78181860
Variance	1132935171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	300	5.5%
0	241	4.4%
2155	212	3.9%
52290	175	3.2%
1633	165	3.0%
770	140	2.6%
2073	140	2.6%
23000	133	2.5%
757	117	2.2%
1542	110	2.0%
Other values (449)	3684	68.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	241	4.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	0.1%
280	2	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	7	0.1%
285990	4	0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_pmd_categoria
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	459
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14432.68599

Minimum	0
Maximum	396895
Zeros	241
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	408
Q1	1157
median	1968
Q3	5307
95-th percentile	77000
Maximum	396895
Range	396895
Interquartile range (IQR)	4150

Descriptive statistics

Standard deviation	33659.10235
Coefficient of variation (CV)	2.332144022
Kurtosis	34.26910004
Mean	14432.68599
Median Absolute Deviation (MAD)	1211
Skewness	4.841505879
Sum	78181860
Variance	1132935171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	300	5.5%
0	241	4.4%
2155	212	3.9%
52290	175	3.2%
1633	165	3.0%
770	140	2.6%
2073	140	2.6%
23000	133	2.5%
757	117	2.2%
1542	110	2.0%
Other values (449)	3684	68.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	241	4.4%
35	1	< 0.1%
208	1	< 0.1%
250	3	0.1%
280	2	< 0.1%
300	1	< 0.1%
308	1	< 0.1%
340	1	< 0.1%
342	1	< 0.1%
352	1	< 0.1%

Value	Count	Frequency (%)
396895	1	< 0.1%
385553	1	< 0.1%
380790	1	< 0.1%
351534	1	< 0.1%
346544	7	0.1%
285990	4	0.1%
263080	1	< 0.1%
256280	1	< 0.1%
253000	1	< 0.1%
247200	1	< 0.1%

aeronave_assentos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	86
Distinct (%)	1.6%
Missing	199
Missing (%)	3.7%
Infinite	0
Infinite (%)	0.0%
Mean	26.72729015

Minimum	0
Maximum	384
Zeros	258
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	6
Q3	10
95-th percentile	172
Maximum	384
Range	384
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	53.80916901
Coefficient of variation (CV)	2.013266916
Kurtosis	6.249536922
Mean	26.72729015
Median Absolute Deviation (MAD)	4
Skewness	2.530606815
Sum	139463
Variance	2895.426669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	900	16.6%
2	806	14.9%
4	626	11.6%
1	579	10.7%
7	314	5.8%
0	258	4.8%
125	171	3.2%
8	165	3.0%
10	139	2.6%
11	129	2.4%
Other values (76)	1131	20.9%
(Missing)	199	3.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	258	4.8%
1	579	10.7%
2	806	14.9%
3	70	1.3%
4	626	11.6%
5	114	2.1%
6	900	16.6%
7	314	5.8%
8	165	3.0%
9	50	0.9%

Value	Count	Frequency (%)
384	5	0.1%
382	2	< 0.1%
312	1	< 0.1%
288	2	< 0.1%
284	2	< 0.1%
278	2	< 0.1%
258	1	< 0.1%
243	1	< 0.1%
242	1	< 0.1%
240	4	0.1%

aeronave_ano_fabricacao
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	78
Distinct (%)	1.6%
Missing	520
Missing (%)	9.6%
Infinite	0
Infinite (%)	0.0%
Mean	1993.702062

Minimum	1936
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	1936
5-th percentile	1969
Q1	1980
median	1996
Q3	2009
95-th percentile	2013
Maximum	2020
Range	84
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	15.8722452
Coefficient of variation (CV)	0.007961192146
Kurtosis	-0.7836127684
Mean	1993.702062
Median Absolute Deviation (MAD)	14
Skewness	-0.4209224121
Sum	9763159
Variance	251.9281677
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2012	257	4.7%
2010	235	4.3%
2011	231	4.3%
2009	201	3.7%
2008	189	3.5%
1980	180	3.3%
2007	176	3.2%
2013	171	3.2%
1979	141	2.6%
1977	134	2.5%
Other values (68)	2982	55.0%
(Missing)	520	9.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1936	1	< 0.1%
1940	1	< 0.1%
1945	2	< 0.1%
1946	10	0.2%
1947	7	0.1%
1948	5	0.1%
1949	1	< 0.1%
1950	15	0.3%
1951	5	0.1%
1952	3	0.1%

Value	Count	Frequency (%)
2020	3	0.1%
2019	12	0.2%
2018	18	0.3%
2017	21	0.4%
2016	34	0.6%
2015	44	0.8%
2014	35	0.6%
2013	171	3.2%
2012	257	4.7%
2011	231	4.3%

aeronave_registro_categoria
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	159
Missing (%)	2.9%
Memory size	42.4 KiB

AVIÃO	4346
HELICÓPTERO	556
ULTRALEVE	316
PLANADOR	18
ANFÍBIO	13
Other values (4)	9

Length

Max length	11
Median length	5
Mean length	5.892544694
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	AVIÃO
2nd row	AVIÃO
3rd row	AVIÃO
4th row	ULTRALEVE
5th row	AVIÃO

Common Values

Value	Count	Frequency (%)
AVIÃO	4346	80.2%
HELICÓPTERO	556	10.3%
ULTRALEVE	316	5.8%
PLANADOR	18	0.3%
ANFÍBIO	13	0.2%
TRIKE	5	0.1%
DIRIGÍVEL	2	< 0.1%
BALÃO	1	< 0.1%
HIDROAVIÃO	1	< 0.1%
(Missing)	159	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
avião	4346	82.7%
helicóptero	556	10.6%
ultraleve	316	6.0%
planador	18	0.3%
anfíbio	13	0.2%
trike	5	0.1%
dirigível	2	< 0.1%
balão	1	< 0.1%
hidroavião	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_registro_segmento
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	0.2%
Missing	73
Missing (%)	1.3%
Memory size	42.4 KiB

PARTICULAR	1729
REGULAR	1063
INSTRUÇÃO	736
TÁXI AÉREO	643
EXPERIMENTAL	444
Other values (7)	729

Length

Max length	22
Median length	10
Mean length	9.706212575
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PARTICULAR
2nd row	REGULAR
3rd row	ESPECIALIZADA
4th row	EXPERIMENTAL
5th row	ESPECIALIZADA

Common Values

Value	Count	Frequency (%)
PARTICULAR	1729	31.9%
REGULAR	1063	19.6%
INSTRUÇÃO	736	13.6%
TÁXI AÉREO	643	11.9%
EXPERIMENTAL	444	8.2%
AGRÍCOLA	371	6.8%
ADMINISTRAÇÃO DIRETA	188	3.5%
ESPECIALIZADA	101	1.9%
MÚLTIPLA	32	0.6%
NÃO REGULAR	31	0.6%
Other values (2)	6	0.1%
(Missing)	73	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
particular	1729	27.8%
regular	1094	17.6%
instrução	736	11.8%
táxi	643	10.4%
aéreo	643	10.4%
experimental	444	7.1%
agrícola	371	6.0%
administração	193	3.1%
direta	188	3.0%
especializada	101	1.6%
Other values (4)	69	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_voo_origem
Categorical

HIGH CARDINALITY
MISSING

Distinct	677
Distinct (%)	13.0%
Missing	204
Missing (%)	3.8%
Memory size	42.4 KiB

FORA DE AERODROMO	1915
CAMPO DE MARTE	104
VIRACOPOS	102
GOVERNADOR ANDRÉ FRANCO MONTORO	101
CONGONHAS	73
Other values (672)	2918

Length

Max length	63
Median length	17
Mean length	17.83982352
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	327 ?
Unique (%)	6.3%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	1915	35.4%
CAMPO DE MARTE	104	1.9%
VIRACOPOS	102	1.9%
GOVERNADOR ANDRÉ FRANCO MONTORO	101	1.9%
CONGONHAS	73	1.3%
CARLOS DRUMMOND DE ANDRADE / PAMPULHA	70	1.3%
PRESIDENTE JUSCELINO KUBITSCHEK	65	1.2%
AEROPORTO ESTADUAL DE JUNDIAÍ	64	1.2%
SANTA GENOVEVA/GOIÂNIA	58	1.1%
BACACHERI	55	1.0%
Other values (667)	2606	48.1%
(Missing)	204	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2563	17.6%
aerodromo	1917	13.2%
fora	1915	13.2%
	235	1.6%
governador	176	1.2%
carlos	144	1.0%
campo	137	0.9%
fazenda	134	0.9%
estadual	126	0.9%
santa	113	0.8%
Other values (959)	7093	48.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_voo_destino
Categorical

HIGH CARDINALITY
MISSING

Distinct	674
Distinct (%)	12.9%
Missing	196
Missing (%)	3.6%
Memory size	42.4 KiB

FORA DE AERODROMO	1990
CAMPO DE MARTE	113
GOVERNADOR ANDRÉ FRANCO MONTORO	99
CONGONHAS	70
VIRACOPOS	65
Other values (669)	2884

Length

Max length	50
Median length	17
Mean length	17.71308179
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	341 ?
Unique (%)	6.5%

Sample

1st row	FORA DE AERODROMO
2nd row	FORA DE AERODROMO
3rd row	FORA DE AERODROMO
4th row	FORA DE AERODROMO
5th row	FORA DE AERODROMO

Common Values

Value	Count	Frequency (%)
FORA DE AERODROMO	1990	36.7%
CAMPO DE MARTE	113	2.1%
GOVERNADOR ANDRÉ FRANCO MONTORO	99	1.8%
CONGONHAS	70	1.3%
VIRACOPOS	65	1.2%
PRESIDENTE JUSCELINO KUBITSCHEK	61	1.1%
BACACHERI	57	1.1%
SANTOS DUMONT	54	1.0%
AEROPORTO ESTADUAL DE JUNDIAÍ	53	1.0%
CARLOS DRUMMOND DE ANDRADE / PAMPULHA	49	0.9%
Other values (664)	2610	48.2%
(Missing)	196	3.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	2629	18.1%
aerodromo	1991	13.7%
fora	1990	13.7%
	200	1.4%
governador	171	1.2%
campo	158	1.1%
fazenda	138	1.0%
carlos	131	0.9%
estadual	123	0.8%
marte	114	0.8%
Other values (925)	6877	47.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fase_operacao
Categorical

HIGH CORRELATION

Distinct	31
Distinct (%)	0.6%
Missing	26
Missing (%)	0.5%
Memory size	42.4 KiB

POUSO	917
DECOLAGEM	883
CRUZEIRO	831
CORRIDA APÓS POUSO	616
TÁXI	390
Other values (26)	1754

Length

Max length	31
Median length	8
Mean length	9.736783528
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	POUSO
2nd row	DESCIDA
3rd row	ESPECIALIZADA
4th row	CRUZEIRO
5th row	POUSO

Common Values

Value	Count	Frequency (%)
POUSO	917	16.9%
DECOLAGEM	883	16.3%
CRUZEIRO	831	15.3%
CORRIDA APÓS POUSO	616	11.4%
TÁXI	390	7.2%
SUBIDA	378	7.0%
APROXIMAÇÃO FINAL	292	5.4%
MANOBRA	235	4.3%
ESPECIALIZADA	139	2.6%
DESCIDA	138	2.5%
Other values (21)	572	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pouso	1533	19.9%
decolagem	896	11.6%
cruzeiro	831	10.8%
corrida	616	8.0%
após	616	8.0%
táxi	390	5.1%
subida	378	4.9%
aproximação	309	4.0%
final	303	3.9%
manobra	235	3.1%
Other values (39)	1590	20.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_tipo_operacao
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.2%
Missing	148
Missing (%)	2.7%
Memory size	42.4 KiB

PRIVADA	1867
REGULAR	1059
INSTRUÇÃO	702
TÁXI AÉREO	617
AGRÍCOLA	514
Other values (4)	510

Length

Max length	13
Median length	7
Mean length	8.086164358
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PRIVADA
2nd row	REGULAR
3rd row	AGRÍCOLA
4th row	EXPERIMENTAL
5th row	AGRÍCOLA

Common Values

Value	Count	Frequency (%)
PRIVADA	1867	34.5%
REGULAR	1059	19.5%
INSTRUÇÃO	702	13.0%
TÁXI AÉREO	617	11.4%
AGRÍCOLA	514	9.5%
EXPERIMENTAL	238	4.4%
POLICIAL	148	2.7%
NÃO REGULAR	64	1.2%
ESPECIALIZADA	60	1.1%
(Missing)	148	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
privada	1867	31.4%
regular	1123	18.9%
instrução	702	11.8%
táxi	617	10.4%
aéreo	617	10.4%
agrícola	514	8.6%
experimental	238	4.0%
policial	148	2.5%
não	64	1.1%
especializada	60	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_nivel_dano
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	49
Missing (%)	0.9%
Memory size	42.4 KiB

NENHUM	1898
SUBSTANCIAL	1601
LEVE	1554
DESTRUÍDA	315

Length

Max length	11
Median length	6
Mean length	7.088301043
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LEVE
2nd row	NENHUM
3rd row	SUBSTANCIAL
4th row	LEVE
5th row	SUBSTANCIAL

Common Values

Value	Count	Frequency (%)
NENHUM	1898	35.0%
SUBSTANCIAL	1601	29.6%
LEVE	1554	28.7%
DESTRUÍDA	315	5.8%
(Missing)	49	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
nenhum	1898	35.4%
substancial	1601	29.8%
leve	1554	28.9%
destruída	315	5.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aeronave_fatalidades_total
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1456525752

Minimum	0
Maximum	10
Zeros	5015
Zeros (%)	92.6%
Negative	0
Negative (%)	0.0%
Memory size	42.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6474127748
Coefficient of variation (CV)	4.444911282
Kurtosis	52.5966278
Mean	0.1456525752
Median Absolute Deviation (MAD)	0
Skewness	6.433938698
Sum	789
Variance	0.419143301
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	5015	92.6%
1	209	3.9%
2	112	2.1%
3	25	0.5%
4	24	0.4%
5	20	0.4%
6	5	0.1%
8	3	0.1%
7	3	0.1%
10	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5015	92.6%
1	209	3.9%
2	112	2.1%
3	25	0.5%
4	24	0.4%
5	20	0.4%
6	5	0.1%
7	3	0.1%
8	3	0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
8	3	0.1%
7	3	0.1%
6	5	0.1%
5	20	0.4%
4	24	0.4%
3	25	0.5%
2	112	2.1%
1	209	3.9%
0	5015	92.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_recomendacoes	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano
0	INCIDENTE	PORTO ALEGRE - RS	RS	SBPA	1.0	20.0	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	5.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PRCDL	PARTICULAR	AVIÃO	RAYTHEON AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2495	2495	6.0	2003.0	AVIÃO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	PRIVADA	LEVE
1	ACIDENTE	GUARULHOS - SP	SP	SBGR	1.0	13.0	SIM	FINALIZADA	SIM	3	1	NÃO	-23.4355555556 / -46.4730555556	6.0	COM PESSOAL EM VOO	OUTROS \| COM PESSOAL EM VOO	OTHR	PRTKB	NaN	AVIÃO	AEROSPATIALE AND ALENIA	ATR-42-500	AT45	TURBOÉLICE	BIMOTOR	18600	18600	50.0	2001.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	DESCIDA	REGULAR	NENHUM
2	ACIDENTE	VIAMÃO - RS	RS	NaN	1.0	13.0	NaN	FINALIZADA	SIM	0	1	NÃO	NaN	6.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PTGOO	NaN	AVIÃO	NEIVA INDUSTRIA AERONAUTICA	EMB-201	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	1976.0	AVIÃO	ESPECIALIZADA	FORA DE AERODROMO	FORA DE AERODROMO	ESPECIALIZADA	AGRÍCOLA	SUBSTANCIAL
3	ACIDENTE	SÃO SEBASTIÃO - SP	SP	NaN	1.0	17.0	NaN	NaN	NÃO	0	1	NÃO	NaN	6.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PUUSS	EXPERIMENTAL	ULTRALEVE	NaN	P2004 BRAVO	ULAC	PISTÃO	MONOMOTOR	580	580	2.0	2007.0	ULTRALEVE	EXPERIMENTAL	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	EXPERIMENTAL	LEVE
4	ACIDENTE	SÃO SEPÉ - RS	RS	NaN	1.0	16.0	SIM	FINALIZADA	SIM	0	1	NÃO	NaN	6.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTUCL	NaN	AVIÃO	NEIVA INDUSTRIA AERONAUTICA	EMB-201A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	1986.0	AVIÃO	ESPECIALIZADA	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	AGRÍCOLA	SUBSTANCIAL
5	INCIDENTE	UBATUBA - SP	SP	NaN	1.0	14.0	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	6.0	COLISÃO COM AVE	COLISÃO COM AVE	BIRD	PRBGF	PARTICULAR	HELICÓPTERO	EUROCOPTER FRANCE	EC 120 B	EC20	TURBOEIXO	MONOMOTOR	1715	1715	5.0	2000.0	HELICÓPTERO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	PRIVADA	LEVE
6	INCIDENTE GRAVE	CAMPINAS - SP	SP	SDAI	1.0	18.0	SIM	FINALIZADA	SIM	0	1	NÃO	NaN	7.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTKYP	NaN	AVIÃO	CIA AERONAUTICA PAULISTA	CAP-4	PAUL	PISTÃO	MONOMOTOR	587	587	2.0	1940.0	AVIÃO	INSTRUÇÃO	FORA DE AERODROMO	FORA DE AERODROMO	DECOLAGEM	INSTRUÇÃO	SUBSTANCIAL
7	INCIDENTE	BELÉM - PA	PA	SBBE	1.0	19.0	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	8.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PRMHX	REGULAR	AVIÃO	AIRBUS INDUSTRIE	A320-214	A320	JATO	BIMOTOR	77000	77000	184.0	2008.0	AVIÃO	REGULAR	FORA DE AERODROMO	FORA DE AERODROMO	CORRIDA APÓS POUSO	REGULAR	LEVE
8	ACIDENTE	CONCEIÇÃO DAS ALAGOAS - MG	MG	NaN	1.0	16.0	NaN	FINALIZADA	NÃO	0	1	NÃO	-19.9133333333 / -48.2930555556	8.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PTLUP	PARTICULAR	AVIÃO	CESSNA AIRCRAFT	P210N	P210	PISTÃO	MONOMOTOR	1812	1812	6.0	1982.0	AVIÃO	PARTICULAR	FORA DE AERODROMO	FORA DE AERODROMO	CRUZEIRO	PRIVADA	SUBSTANCIAL
9	INCIDENTE	UBERLÂNDIA - MG	MG	SBUL	1.0	22.0	NaN	FINALIZADA	NÃO	0	1	NÃO	NaN	8.0	COM TREM DE POUSO	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	SCF-NP	PRZRB	EXPERIMENTAL	AVIÃO	JOSE ROBERTO BARBOSA	BUMERANGUE EX-27 CROSS-CONTRY	ZZZZ	PISTÃO	MONOMOTOR	1260	1260	4.0	2011.0	AVIÃO	EXPERIMENTAL	FORA DE AERODROMO	FORA DE AERODROMO	POUSO	EXPERIMENTAL	LEVE

Last rows

	ocorrencia_classificacao	ocorrencia_cidade	ocorrencia_uf	ocorrencia_aerodromo	ocorrencia_dia	ocorrencia_hora	investigacao_aeronave_liberada	investigacao_status	divulgacao_relatorio_publicado	total_aeronaves_envolvidas	ocorrencia_saida_pista	ocorrencia_localizacao	ocorrencia_mes	ocorrencia_tipo	ocorrencia_tipo_categoria	taxonomia_tipo_icao	aeronave_matricula	aeronave_operador_categoria	aeronave_tipo_veiculo	aeronave_fabricante	aeronave_modelo	aeronave_tipo_icao	aeronave_motor_tipo	aeronave_motor_quantidade	aeronave_pmd	aeronave_pmd_categoria	aeronave_assentos	aeronave_ano_fabricacao	aeronave_registro_categoria	aeronave_registro_segmento	aeronave_voo_origem	aeronave_voo_destino	aeronave_fase_operacao	aeronave_tipo_operacao	aeronave_nivel_dano
5407	INCIDENTE	MANAUS - AM	AM	SBEG	30.0	14.0	SIM	FINALIZADA	NÃO	1	NÃO	-3.04111111 / -60.05055556	12.0	ESTOURO DE PNEU	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| ESTOURO DE PNEU	SCF-NP	PTOCV	NaN	AVIÃO	EMBRAER	EMB-110P1	E110	TURBOÉLICE	BIMOTOR	5670	5670	21.0	1981.0	AVIÃO	TÁXI AÉREO	CARAUARI	EDUARDO GOMES	CORRIDA APÓS POUSO	TÁXI AÉREO	LEVE
5408	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30.0	13.0	SIM	FINALIZADA	NÃO	1	SIM	-23.626111 / -46.656389	12.0	COM TREM DE POUSO	FALHA OU MAU FUNCIONAMENTO DE SISTEMA / COMPONENTE \| COM TREM DE POUSO	SCF-NP	PPAFP	NaN	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM
5409	INCIDENTE	SÃO PAULO - SP	SP	SBSP	30.0	13.0	SIM	FINALIZADA	NÃO	1	SIM	-23.626111 / -46.656389	12.0	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PPAFP	NaN	AVIÃO	CESSNA AIRCRAFT	208B	C208	TURBOÉLICE	MONOMOTOR	3969	3969	7.0	2013.0	AVIÃO	PARTICULAR	CONGONHAS	DOUTOR RAMALHO FRANCO	TÁXI	PRIVADA	NENHUM
5410	ACIDENTE	JATAÍ - GO	GO	NaN	30.0	20.0	SIM	ATIVA	NÃO	1	NÃO	-17.999194 / -51.642861	12.0	EXCURSÃO DE PISTA	EXCURSÃO DE PISTA	RE	PTWBA	NaN	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL
5411	ACIDENTE	JATAÍ - GO	GO	NaN	30.0	20.0	SIM	ATIVA	NÃO	1	NÃO	-17.999194 / -51.642861	12.0	PERDA DE CONTROLE NO SOLO	PERDA DE CONTROLE NO SOLO	LOC-G	PTWBA	NaN	AVIÃO	EMBRAER	EMB-202A	IPAN	PISTÃO	MONOMOTOR	1800	1800	1.0	2013.0	AVIÃO	PARTICULAR	PISTA DE POUSO EVENTUAL	PISTA DE POUSO EVENTUAL	DECOLAGEM	AGRÍCOLA	SUBSTANCIAL
5412	ACIDENTE	MARACAÍ - SP	SP	NaN	31.0	9.0	SIM	ATIVA	NÃO	1	NÃO	-22.585556 / -50.753889	12.0	OPERAÇÃO A BAIXA ALTITUDE	OPERAÇÃO A BAIXA ALTITUDE	LALT	PRVPR	NaN	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	NaN	NaN	MANOBRA	ESPECIALIZADA	SUBSTANCIAL
5413	ACIDENTE	MARACAÍ - SP	SP	NaN	31.0	9.0	SIM	ATIVA	NÃO	1	NÃO	-22.585556 / -50.753889	12.0	PERDA DE CONTROLE EM VOO	PERDA DE CONTROLE EM VOO	LOC-I	PRVPR	NaN	AVIÃO	AIR TRACTOR	AT-502B	AT5T	TURBOÉLICE	MONOMOTOR	3629	3629	1.0	2018.0	AVIÃO	AGRÍCOLA	NaN	NaN	MANOBRA	ESPECIALIZADA	SUBSTANCIAL
5414	INCIDENTE GRAVE	NOVO HAMBURGO - RS	RS	SSNH	31.0	11.0	SIM	FINALIZADA	NÃO	1	NÃO	-29.695833 / -51.081667	12.0	POUSO BRUSCO	CONTATO ANORMAL COM A PISTA \| POUSO BRUSCO	ARC	PPFLY	NaN	AVIÃO	AERO BOERO	AB-115	AB11	PISTÃO	MONOMOTOR	770	770	2.0	1990.0	AVIÃO	INSTRUÇÃO	NOVO HAMBURGO	NOVO HAMBURGO	POUSO	INSTRUÇÃO	LEVE
5415	INCIDENTE	CURITIBA - PR	PR	SBBI	31.0	15.0	SIM	FINALIZADA	NÃO	1	NÃO	-25.403333 / -49.233611	12.0	COLISÃO COM OBSTÁCULOS NO SOLO	COLISÃO NO SOLO \| COLISÃO COM OBSTÁCULOS NO SOLO	GCOL	PTWSA	NaN	AVIÃO	BEECH AIRCRAFT	58	BE58	PISTÃO	BIMOTOR	2449	2449	6.0	1972.0	AVIÃO	ADMINISTRAÇÃO DIRETA	SANTOS DUMONT	BACACHERI	TÁXI	POLICIAL	LEVE
5416	INCIDENTE	PETROLINA - PE	PE	SBPL	31.0	20.0	SIM	FINALIZADA	NÃO	1	NÃO	-9.3675 / -40.56361111111	12.0	FALHA DO MOTOR EM VOO	FALHA OU MAU FUNCIONAMENTO DO MOTOR \| FALHA DO MOTOR EM VOO	SCF-PP	PRGXM	NaN	AVIÃO	BOEING COMPANY	737-8EH	B738	JATO	BIMOTOR	70533	70533	199.0	2013.0	AVIÃO	REGULAR	ORLANDO BEZERRA DE MENEZES	GOVERNADOR ANDRÉ FRANCO MONTORO	SUBIDA	REGULAR	LEVE

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values